In this paper, it studies the various elements of map-matching algorithm, in order to achieve better real-time and accuracy for vehicle navigation systems. This paper uses two-stage staggered mesh, combined with the s...
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ISBN:
(纸本)9781479970063
In this paper, it studies the various elements of map-matching algorithm, in order to achieve better real-time and accuracy for vehicle navigation systems. This paper uses two-stage staggered mesh, combined with the second round screening domain. Using of vehicle location, direction, road geometric and topological relations with the angular rate of change, this paper proposes a new map matching algorithm, angle and distance segment dominated approach. The results show that the map-matching algorithm in this paper can achieve vehicle navigation and positioning functions accurately and quickly.
This paper focuses on the cooperative adaptive fuzzy control of high-order nonlinear multi-agent systems. The communication network is a undirected graph with a fixed topology. Each agent is modeled by a high-order in...
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This paper focuses on the cooperative adaptive fuzzy control of high-order nonlinear multi-agent systems. The communication network is a undirected graph with a fixed topology. Each agent is modeled by a high-order integrator incorporating with unknown nonlinear dynamics and an unknown disturbance. Under the backstepping framework, a robust adaptive fuzzy controller is designed for each agent such that all agents ultimately achieve consensus. Moreover, these controllers are distributed in the sense that the controller design for each agent only requires relative state information between itself and its neighbors. A four-order simulation example demonstrates the effectiveness of the algorithm.
In this paper,a novel particle swarm algorithm for solving constrained multiobjective optimization problems is *** new algorithm is able to utilize valuable information from the infeasible region by intentionally keep...
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ISBN:
(纸本)9781479947249
In this paper,a novel particle swarm algorithm for solving constrained multiobjective optimization problems is *** new algorithm is able to utilize valuable information from the infeasible region by intentionally keeping a set of infeasible solutions in each *** enhance the diversity of these preserved infeasible solutions,a modified version of adaptive grid is *** addition,a voting mechanism is designed to balance the preference of infeasible solutions with smaller constraint violation and the exploration of the infeasible *** effectiveness of the proposed method is validated by simulations on several commonly used benchmark *** using the hypervolume indicator,it is shown that the proposed algorithm is more powerful than two other state-of-the-art algorithms.
In this paper, robust attitude coordination control for satellite formation is addressed in the presence of matched perturbations and measurement noise based on the development of reference model. The reference model ...
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ISBN:
(纸本)9781479932757
In this paper, robust attitude coordination control for satellite formation is addressed in the presence of matched perturbations and measurement noise based on the development of reference model. The reference model generates a smooth and coordinated attitude reference trajectory(ART) for each satellite, which is favorable for the design of attitude tracking and formation keeping control law. The sliding mode control is applied such that the satellite formation controller is global robust against matched perturbations. To attenuate the influence of measurement noise on formation-keeping(i.e., H_∞-type performance), linear matrix inequality(LMI) method is used to design sliding-mode parameters. Finally, a numerical example is introduced to illustrate the efficiency of the proposed method.
In this paper, the distributed attitude coordinated tracking controller is presented for multi-group spacecrafts based on input normalized adaptive neural network. In contrast to the existing works about spacecraft fo...
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ISBN:
(纸本)9781479932757
In this paper, the distributed attitude coordinated tracking controller is presented for multi-group spacecrafts based on input normalized adaptive neural network. In contrast to the existing works about spacecraft formation flying(SFF), where all spacecrafts reach the same reference attitude asymptotically, we require that all spacecrafts track several leaders and each spacecraft only synchronize within its group leader, respectively. A distributed finite time observer is proposed for each spacecraft to obtain an accurate estimation of its corresponding reference attitude. A distributed attitude coordination controller based on input normalized neural network is proposed to guarantee that the whole spacecrafts track their corresponding reference attitude cooperatively. Based on Lyapunov theory, the stability of the overall closed-loop system is guaranteed, and numerical simulations are shown to demonstrate the effectiveness of the proposed controller.
This paper considers the decentralized event-triggered consensus problem for discrete-time linear multi-agent systems. The communication topology among agents is assumed to be a general directed graph containing a spa...
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This paper considers the decentralized event-triggered consensus problem for discrete-time linear multi-agent systems. The communication topology among agents is assumed to be a general directed graph containing a spanning tree. We propose an event-based consensus control algorithm rendering the states of agents reach consensus. The triggering condition is decentralized only based on the agent's own information. Compared to the traditional consensus control law which needs communication at every iteration, the proposed event-triggered consensus algorithm in this paper can reduce the communication load greatly. Simulation is given to illustrate the theoretical results.
In this paper, the distributed cooperative attitude tracking control law based on a new modified fast terminal sliding mode is presented for multiple spacecraft formation flying in the presence of model uncertainty an...
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In this paper, the distributed cooperative attitude tracking control law based on a new modified fast terminal sliding mode is presented for multiple spacecraft formation flying in the presence of model uncertainty and external disturbance. Firstly, to speed the convergence rate and avoid the singularity problem, a new modified fast terminal sliding mode manifold is proposed. Then, based on the proposed terminal sliding mode manifold, the distributed cooperative attitude tracking controller is designed for the spacecraft formation flying(SFF) in the presence of model uncertainty and external disturbance, Meanwhile, the finite time stability of SFF system can be also guaranteed. Finally, numerical simulation is given to verify the validity of the proposed control algorithm.
One crucial problem for a humanoid service robot is to be able to communicate with humans naturally. This study focuses on this issue and develops a social interactive system for a humanoid robot to interact with huma...
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In hierarchical electricity market, the retailers buy electricity from generation provider and then sell it to users. Retailers play an important role in the distribution channel by matching supply and demand, but the...
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ISBN:
(纸本)9781479937097
In hierarchical electricity market, the retailers buy electricity from generation provider and then sell it to users. Retailers play an important role in the distribution channel by matching supply and demand, but they also potentially cause inefficiencies in electricity allocation. To induce an efficient allocation of electricity, we propose a novel hierarchical distributed method under PSP auction mechanism. Under this mechanism, each of players, either the generation provider or the retailers, obtains their electricity allocation through the PSP auction method by submitting a multi-dimensional bid profile, instead of telling their private cost or valuation function, then the retailers economically distribute the electricity, acquired in the PSP auction, among users. Moreover, the valuation function of retailers depends on the revenues that they sell the electricity to users. As a main result, in this paper we show that there exists an efficient Nash equilibrium (NE) for the underlying auction games.
This paper presents a simple but effective sentence-length informed method to select informative sentences for active learning (AL) based SMT. A length factor is introduced to penalize short sentences to balance the &...
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